Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, R...
Advances in optical networking have lead to the explosive growth of communication network. Telecom applications began to drive significant investments into this field to support t...
In this article, we discuss a naive method of randomness reduction for cryptographic schemes, which replaces the required perfect randomness with output distribution of a computat...
We present the SynCFr framework (Synchronization Collaboration Framework) supporting the management of composite applications and the synchronization of heterogeneous applications...
Liliana Ardissono, Anna Goy, Giovanna Petrone, Mar...
Detection of saliency regions in images is useful for object based image understanding and object localization. In our work, we investigate a saliency region detection algorithm b...